Why Do Traders Lose Money? The Evidence and the Causes

Written by Dominic Walsh · Published 4 Aug 2026 · Last updated 17 Aug 2026

Ask why do traders lose money and you will meet a famous round percentage within seconds. That number circulates everywhere and cites almost nothing.

The honest picture looks different, and it comes from the rule books rather than the forums. This guide starts with the evidence that really exists. Then it works through the true causes: trading costs, leverage, trade size, the missing written plan, and the habits behind all four.

What the Published Evidence Actually Shows

One solid data source exists, and most articles skip it. Watchdogs force it into public view.

So start there rather than with folklore. The number carries limits, though, and those limits matter as much as the figure itself.

The equity curve above shows the pattern the data hints at. A slow drift lower, broken by two heavy sessions, with no single dramatic event.

Most accounts end that way. They rarely blow up in one big trade, since the slow leak does the work long before any disaster shows up.

The Disclosure the Rules Demand

Firms that offer CFDs to retail clients must publish one exact figure. It gives the share of their retail accounts that lost money over the past twelve months.

European, British and Australian rules all say the same thing. So the figure sits on the broker’s own site, in a set sentence, and it updates through the year. Those published numbers usually land somewhere between roughly seventy and eighty-five percent.

What That Number Does Not Cover

Read the wording closely, because it narrows the claim a lot. The figure counts retail accounts at one firm trading one type of product.

It says nothing about pro clients, spot market users or long-term investors. So treating it as a verdict on every trader stretches the evidence past breaking point. It maps one corner of the market well, and the rest of it badly.

An Account and a Person Differ

The disclosure counts accounts, not people. One person might hold three of them.

The window also runs for twelve months. So an account that lost a little in one year may finish ahead in the next. Because the clock resets, a snapshot never tracks a career, and it never predicts yours.

Check It on Your Own Broker’s Site

You can verify the whole thing in a minute. Open the home page of any firm that offers CFDs to retail clients.

The sentence sits near the foot of the page, often in small grey text. Read the figure, then note the date beside it. Because each firm reports its own book, the numbers differ from broker to broker.

A Better Question to Ask

How many traders lose money makes a poor question. It hands you a number you cannot act on.

Ask instead what separates the two groups. That version points straight at costs, size, gearing and routine, and every one of those sits under your control. So the useful question aims at causes rather than at odds.

Where the Folklore Came From

The famous round percentage travels with no footnote. Nobody can produce the study, and the figure shifts to suit whoever repeats it.

Marketing keeps it alive, since a scary stat sells courses and signal services. So treat any unsourced figure as a sales tool rather than research. The published broker line serves you far better, because you can check it yourself.

Why Do Traders Lose Money: The Real Causes

Six causes explain most of the shortfall. They stack, and they usually arrive in this order.

1. Trading costs. Spread, commission and swap take a slice from every trade, whatever the outcome.
2. Leverage. Borrowed size turns a normal move into an account-level event.
3. Trade size. Risk picked by feel rather than by maths ends accounts during normal losing runs.
4. No written plan. Rules kept in your head drift, so results become hard to review.
5. Habits and bias. Loss aversion, confirmation bias and overconfidence quietly rewrite the plan.
6. Too small a sample. Traders judge a method over ten trades, then change course again.

Notice what the list leaves out. Nothing here turns on indicator choice, and nothing hangs on a better entry signal.

The flow above traces those six causes from deposit through to drawdown. Each stage feeds the next, which is why fixing one alone rarely works.

The Causes Feed Each Other

Costs shrink the account a little. Leverage then tempts the trader to make it back faster.

Big trades produce a heavy loss. That loss triggers the emotional response, which brings more trades and more costs. So the loop closes on itself. Because size sits near the head of the chain, fixing it breaks several links at once.

Judging a Method on Ten Trades

Ten results tell you close to nothing. Yet most traders swap methods on exactly that much evidence.

So they never build a sample worth reading. Because each new method starts the count again, the trader stays a beginner for years. Pick a trade count for reviews in advance, then hold the method until you reach it.

Costs Take the First Slice

Every position pays before it profits. That simple fact defeats a surprising number of otherwise sound methods.

The market must move a certain distance just to reach breakeven. Frequent traders cross that hurdle hundreds of times a year.

Spread on Every Round Trip

The spread separates the buying price from the selling price. You pay it the instant you open, and again in effect when you close.

So a one-pip spread on a ten-pip target consumes ten percent of the move. Because scalping methods aim at small distances, they hand over the largest proportion. Our guide to the spread in forex shows how to measure the real cost on your own account.

Commission and Swap Add Up Quietly

Raw-spread accounts charge a commission per lot instead. Trades held overnight then pay or earn swap, based on the rate gap between the two currencies.

Neither line looks big on a single trade. Across four hundred trades a year, though, they reshape the whole result. See our guide to forex trading costs for the full picture.

Frequency Multiplies the Bill

Costs scale with the number of trades, not with the size of your gains. Ten trades a day means roughly two and a half thousand round trips a year.

So a method needs a real edge simply to cover the friction. Because most traders never add up a year of costs, the drag stays hidden until the statement lands.

Slippage Belongs in the Same Column

Fills drift in fast markets, and stops rarely trigger at the exact level you chose. That gap acts just like an extra cost.

So count it when you judge your edge. Because slippage bites hardest around news, a method that trades those windows carries a heavier bill than its backtest shows.

Leverage Changes the Maths

Leverage lets a small deposit control a large trade. It scales both directions, and it plays no favourites.

Several regions now cap retail leverage for that reason. The cap trims the damage, though it leaves the temptation intact.

Margin Sets the Floor

Your broker closes trades once equity drops below a margin line. That rule guards the firm, not your plan.

So a geared account can hit a forced close-out during a move it would else have ridden out. Because the close-out level tracks your total exposure, five small trades can trigger it as fast as one big one.

Leverage Feels Free Until It Does Not

Nothing in the platform warns you as exposure climbs. The screen looks the same at two times leverage and at fifty.

So traders drift upward without noticing. Because extra size costs nothing to add, the brake has to come from a written rule. Our guide to leverage risk covers the mechanics properly.

Gearing Turns Noise Into Damage

A one percent move means little at low gearing. At thirty times, it takes nearly a third of the account.

So the same chart, read the same way, hands out very different outcomes. Because normal daily swings then reach your stop far more often, high gearing also raises how many times you pay the spread.

Trade Size Decides Survival

Size splits the traders who ride out normal losing runs from those who do not. It sits fully in your hands.

Most people pick a lot size by habit or by hope. Very few work it back from the distance to their stop.

Size From the Stop, Not the Target

Start with the money you accept losing. Divide that by the stop distance, and the lot size drops out.

So the trade fits the setup rather than the other way round. Our position size calculator does the sum in a few seconds.

Small Risk Rides Out Long Runs

Half a percent per trade soaks up ten losses in a row. Five percent per trade does not.

So one method can give two opposite results, purely through size. Because runs of six or seven losses show up in every strategy, that one choice decides whether you still trade next month.

Write the Cap Down Before the Session

A number in your head bends under pressure. A number on paper holds.

Set the risk per trade, the daily stop and the weekly stop in advance. Then treat all three as fixed for the week. Because you set them while calm, they cost you nothing when they fire.

A Worked Example of the Cost Drag

One comparison makes the friction concrete. Take two traders with identical methods and identical edges.

One takes two hundred trades a year. Their neighbour takes two thousand, chasing the same yearly gain in smaller pieces.

Both equity curves above run on the same edge. The steady path climbs, while the busy path stalls. Costs claim a slice from every one of those extra round trips.

Nothing tells the two traders apart except activity. So the gap in results came from friction, not from skill or luck.

Run the Numbers on Your Own Account

Add up your commissions and rough spread cost for last year. Then set that figure beside your net result.

Many traders find the costs beat the loss. In other words, the method sat near breakeven before friction, which changes the whole diagnosis. Because that sum takes an hour, it repays the time better than any other review.

Cut Trades Before You Cut Anything Else

Fewer trades cost less by definition. They also give each setup more room to work.

So halving your trade count often lifts the result on its own. Because the edge per trade stays the same, that gain comes purely from the bill you no longer pay.

The Habits Underneath the Numbers

Costs and leverage explain the mechanics. Habit explains why traders keep choosing them.

Five known effects do most of the damage. Each one has a name and a long research record.

Loss Aversion and the Disposition Effect

Kahneman and Tversky showed that losses feel about twice as strong as equal gains. Their prospect theory put a shape on that gap.

In markets it breeds the disposition effect: traders sell winners early and hold losers late. So the average winner shrinks while the average loser grows. Our guide to loss aversion in trading follows it into single trades.

Confirmation Bias Filters the Chart

People hunt for proof of what they already think. Charts offer endless raw material for that habit.

So a trader who wants a long entry finds three signals that agree and skips the one that does not. Because the filter runs before you notice it, the whole thing feels like research.

Overconfidence Raises Size

A run of wins convinces most people that skill caused it. Size then creeps upward with no decision behind it.

So the biggest trades often land just before the biggest drawdown. Because that drift leaves no mark on the chart, only a trade journal catches it in time.

Recency and the Gambler’s Fallacy

Fresh results crowd out old ones in memory. Two losing days feel louder than two hundred logged trades.

The gambler’s fallacy then hints that a winner has come due. So traders raise size after losses, at the very moment care serves them best. Because markets keep no memory, that urge fights the maths every time.

Anchoring to Your Entry Price

The price you paid sticks in mind and refuses to leave. Every later choice then measures itself against that one number.

So traders wait to get back to breakeven instead of judging the setup as it stands now. Because the market never saw your entry, that anchor carries no meaning at all. Ask what you would do with a flat account and the same chart.

What Losing Traders Tend to Skip

The gap between the two groups rarely rests on rare knowledge. It rests on dull routine.

Practice	What skipping it costs
Written entry and exit rules	Results become impossible to review honestly
Risk per trade fixed in advance	Normal losing runs turn into account damage
A stop placed before entry	Exit decisions happen while the loss grows
A daily and weekly loss limit	One bad session compounds into a bad month
A trade log with the reason for entry	The same error repeats for years
An annual total of costs	The real hurdle stays invisible
A minimum sample before judging	Strategies change every fortnight

None of those habits needs software or capital. So the barrier sits in routine rather than in money, which puts the fix within reach of everybody.

How to Stop the Leak

Six causes sound like six projects. In practice, three changes close most of the gap.

Work through them in order. Each one makes the next easier to keep.

First, Fix the Size

Pick one number and write it down. Half a percent of equity per trade suits most people starting out.

Then let that number set every lot size you choose. Because size drives both the damage and the stress, it earns the first slot on the list.

Second, Count the Costs

Add up a year of spread, commission and swap. Set the total beside your net result.

So you learn the hurdle your method must clear. Because that number often surprises people, it tends to cut trade frequency all by itself.

Third, Write the Plan Down

One page covers it. State the setups you take, the stop rule, the risk per trade and the daily stop.

Then log every trade against that page. Because you can only review what you recorded, the log turns a vague sense of progress into evidence.

Pitfalls and Edge Cases

A few wrinkles muddy the tidy picture, so keep them in view. The panel below shows the version that ends accounts fastest.

Equity falls, leverage rises to catch up, and the curve drops below the level where a fair gain restores it. That path takes weeks rather than years.

Recovery Maths Works Against You

A fifty percent loss needs a hundred percent gain to get level. The bar climbs faster than the loss itself.

So a deep drawdown becomes a different problem, not just a bigger one. Because shallow losses cost so much less to repair, most of the value in risk control sits at the shallow end.

Backtests Flatter Almost Everything

Tests on old data assume clean fills and fixed spreads. Live trading gives neither.

So a method that looks strong in testing can sit at breakeven in practice. Because the gap comes mostly from costs and slippage, model both with room to spare.

Survivorship Bias Skews the Examples

Social feeds show the accounts that worked. The rest simply stop posting.

So what you see says very little about typical results. Because the failures leave no trace, any read on public results flatters the odds by a wide margin.

When Trading Stops Being a Choice

Sometimes the pattern moves past technique. If losses affect your sleep, your money or your relationships, stepping away matters more than any tweak to the method.

Seek qualified professional support in that case. Because compulsive trading behaves like other compulsions, resolve alone rarely settles it.

Related Concepts to Study Next

Every cause above traces back to process rather than prediction, so a few neighbouring topics repay real attention. Fix the routine, and most of the leaks close on their own.

Start with what trading psychology covers, then read our list of common risk management mistakes. For the activity problem specifically, see our guide to overtrading, which picks up exactly where the cost section here stops.

FAQ

What percentage of traders lose money?

Brokers offering contracts for difference must publish the share of their retail accounts that lost money over the previous year. Those disclosures usually sit somewhere between roughly seventy and eighty-five percent. The figure covers retail accounts at one firm trading one product, so it does not describe every trader everywhere.

Is the ninety-five percent failure claim true?

Nobody can point to the study behind it. The number changes depending on who repeats it, and it usually appears in marketing rather than research. Use the regulated broker disclosure instead, because you can verify that one yourself.

Do trading costs really matter that much?

They matter enormously at high frequency. Spread, commission, swap and slippage apply to every round trip regardless of outcome, so two thousand trades a year face the hurdle two thousand times. Total your annual costs before you judge your method.

Does leverage cause losses by itself?

Leverage amplifies whatever your sizing already does. It turns a survivable losing run into a forced liquidation, and it does so without any warning in the platform. Cap your exposure with a written rule rather than trusting the margin indicator.

Do small accounts face worse odds?

Costs weigh more heavily on them. A fixed commission and a fixed spread take a larger share of a small balance, and the temptation to use high gearing grows as the account shrinks. Smaller risk per trade and fewer trades both help.

Which behavioural bias costs traders the most?

Loss aversion, through the disposition effect, does the clearest damage. Cutting winners early and holding losers late shrinks the average gain while stretching the average loss. That single pattern can turn a sound method into a losing one.

Can any of this be fixed without more capital?

Yes, since almost every cause above concerns process. Written rules, a fixed risk per trade, a stop set before entry and an honest log cost nothing and address the largest leaks directly. They improve your odds rather than settling them, because the market still decides each individual trade. Results are not guaranteed; past performance is not indicative of future results.